Bring Olap
to Pydantic AI
Create your Vinkius account to connect ClickHouse (Vector Search) to Pydantic AI and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the ClickHouse (Vector Search) MCP Server?
Connect your ClickHouse cluster to any AI agent and take full control of your analytical and vector data through natural conversation.
What you can do
- Schema Management — List databases and tables, and inspect deep column schemas including specialized Array(Float32) vector types
- SQL Execution — Push arbitrary DML, DDL, or SELECT queries to your cluster to manage data and generate real-time reports
- Vector Search — Identify mathematical distance traces using cosineDistance or L2Distance metrics for high-dimensional semantic search
- Cluster Monitoring — Extract internal structural states, row counts, and compression ratios to audit cluster health
- Capability Auditing — Check instance versions and binary limits to identify exact capability branches like HNSW support
How it works
- Subscribe to this server
- Enter your ClickHouse URL (Cloud or self-hosted), Username, and Password
- Start querying your analytical data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — generate complex analytical reports and execute SQL queries using natural language
- AI Developers — test and debug vector similarity searches and semantic matching without writing boilerplate code
- Database Administrators — monitor table statistics, compression ratios, and cluster versions across environments
- Product Teams — quickly verify analytical data and vector distributions during the prototyping phase
Built-in capabilities (7)
Perform structural extraction of properties driving active column schemas
Provision a highly-available SQL execution pushing arbitrary arbitrary DML/DDL or SELECTs
Extracts explicitly attached internal structural states pulling cluster health
g. HNSW support). Identify precise active cluster limits spanning the execution runtime
Identify bounded logical arrays managing top-level ClickHouse schemas
Retrieve the exact structural matching verifying table limits inside a database
Identify explicit mathematical distance traces routing Vector Embeddings
Why Pydantic AI?
Pydantic AI validates every ClickHouse (Vector Search) tool response against typed schemas, catching data inconsistencies at build time. Connect 7 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ClickHouse (Vector Search) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your ClickHouse (Vector Search) connection logic from agent behavior for testable, maintainable code
ClickHouse (Vector Search) in Pydantic AI
Why run ClickHouse (Vector Search) with Vinkius?
The ClickHouse (Vector Search) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect ClickHouse (Vector Search) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
ClickHouse (Vector Search) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect ClickHouse (Vector Search) to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
ClickHouse (Vector Search) for Pydantic AI
Every request between Pydantic AI and ClickHouse (Vector Search) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my agent perform high-speed vector similarity searches?
Yes. Provide the database, table, and the vector embedding array in JSON format. The agent uses ClickHouse's native distance functions (cosine or L2) to return the closest matches, leveraging ClickHouse's industry-leading OLAP performance.
Can I execute arbitrary SQL commands directly through the agent?
Absolutely. The 'execute_sql' tool allows you to push any valid ClickHouse SQL (DML, DDL, or SELECT) to your cluster. This is perfect for managing tables, updating records, or generating custom analytical reports on the fly.
How do I check if my ClickHouse instance supports HNSW indices?
Ask your agent to get the version details. The agent checks your ClickHouse build and identifies exactly which capability branches are active, confirming if advanced vector features like HNSW support are available in your runtime environment.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your ClickHouse (Vector Search) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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